Introduction In mathematics, an integral assigns numbers to functions in a way that describes displacement, area, volume, and other concepts that arise by combining infinitesimal data. The process of finding integrals is called integration source. To solve the many Data Science problem we should use integration. In Data Science we need to use not only […]

# python

## Python Generators

Python Generators are kind of iterators which allows us to iterate through the values returned through the function using yield keyword. In simple words, generators are the function with yield keyword instead of return. Some of benefits of using Python Generators are: They return data as a iterator rather than a whole sequence making it […]

## How Can We Generate Random Number From Congruential Method?

What is Random Number A random number is one that is selected at random, as the name suggests, from a group of numbers. As they tend to be excessively slow for most applications in statistics and cryptography, the first methods for producing random numbers, such as dice, coin flipping, and roulette wheels, are still employed […]

## News Classification with Simple Neural Network

News Classification with Simple Neural Network is one of the application of Deep Learning. And here in this part of the blog, I am going to perform a Nepali News Classification. Before jumping into the main part, I would love to share some of my previous contents based upon which this blog has been written. […]

## Manipulation of Word Vectors

To manipulating vectors means to perform some arithmetics operation on these vectors. By performing some arithmetics on vectors resulting vectors or any value can represent very interesting fact or inside. This is very interesting inside that we perform some operation on the given data and result represent more interesting fact about the data. This blog […]

## Stock Price Prediction On Commercial Data Using RNN

A type of neural network called a recurrent neural network (RNN) uses the output from a previous step as input for the current step. Traditional neural networks have inputs and outputs that are independent of one another, but there is a need to remember the previous words in situations where it is necessary to anticipate […]

## Stock Price Prediction On Commercial Data Using GRU

GRU are a kind of Neural Networks which are designed to overcome some issues with RNN. There are two primary issues with recurrent neural networks Calculations of gradients either fail or explode. Gradient calculations are expensive Gradient clipping is a solution to the expanding gradient problem, and other topologies like the gated recurrent unit (GRU) […]

## Building Image Size Reducer Tool In Python

Image Size Reducer is much needed tool these days because most site wants us to upload various documents in the form of image but with the size limit. Modern days camera gives us image with size in megabytes but the server or site we need to upload the site has size limitation. There are sites […]

## Stock Price Prediction On Commercial Data Using LSTM

LSTMS are a variety of RNNs but lets start with RNNs. RNNs are unable to remember long-term dependencies in time series data because of the vanishing gradient issue. An RNN version called LSTM was created to deal with this problem. Similar to RNN, LSTM features a hidden state that functions as short-term memory. Additionally, it […]

## Making Fractal Shapes with Python

Fractal shapes are the continuous and never ending patterns that can be seen in the nature. But its quite different than the classical geometry in the sense of construction. Fractal shapes can be seen in many things in our nature where the shapes are repeating in itself with the same representation one popular example is […]